Multi-Modal Transportation Service Planning and Fulfillment

2. The computing system of claim 1, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a number of or a quality of contingency plans for providing alternative transportation legs associated with each candidate end-to-end itinerary.

3. The computing system of claim 1, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a deviation of an estimated arrival time from a requested arrival time or a deviation of an estimated departure time from a requested departure time.

4. The computing system of claim 1, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of an uncertainty or a variance associated with respective transportation legs of each candidate end-to-end itinerary.

5. The computing system of claim 1, wherein providing the data indicative of the selected end-to-end itinerary to the user device comprises providing a single end-to-end price of fulfilling the selected end-to-end itinerary, the single end-to-end price corresponding to a sum of respective prices for the plurality of transportation legs.

8. The computing system of claim 1, the operations further comprising: in response to receiving the indication from the user device indicative of the user choosing to request fulfillment of the selected end-to-end itinerary, adding the user at a current time to a transportation plan of at least one of the first transportation leg or the second transportation leg.

9. The computing system of claim 1, wherein one or more of the plurality of transportation legs is a placeholder transportation plan that will be available at a future time for which the user is seeking to travel, the placeholder transportation plan being an estimation of a transportation service that will be available at the future time generated based on at least one of historical data or real-time data.

11. The computer-implemented method of claim 10, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a number of or a quality of contingency plans for providing alternative transportation legs associated with each candidate end-to-end itinerary.

12. The computer-implemented method of claim 10, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a deviation of an estimated arrival time from a requested arrival time or a deviation of an estimated departure time from a requested departure time.

13. The computer-implemented method of claim 10, wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of an uncertainty or a variance associated with respective transportation legs of each candidate end-to-end itinerary.

14. The computer-implemented method of claim 10, wherein providing the data indicative of the selected end-to-end itinerary to the user device comprises providing a single end-to-end price of fulfilling the selected end-to-end itinerary, the single end-to-end price corresponding to a sum of respective prices for the plurality of transportation legs.

17. The computer-implemented method of claim 10, wherein one or more of the plurality of transportation legs is a placeholder transportation plan that will be available at a future time for which the user is seeking to travel, the placeholder transportation plan being an estimation of a transportation service that will be available at the future time generated based on at least one of historical data or real-time data.